Are you passionate about bioinformatics and eager to make a significant impact in the field of biologics drug discovery? If so, AstraZeneca is the place for you! We are seeking a Bioinformatics Scientist to join our Data Science & Advanced Analytics division. This team of experts from various disciplines, including Data Science, Real World Evidence and Bioinformatics, is dedicated to transforming the drug discovery process at AstraZeneca. This role will focus on enhancing our understanding of disease and drug targets by exploring innovative ways to analyse multi-modal biomarker signatures. Join us and play a pivotal role in transforming patients' lives by accelerating the delivery of new medicines.
Throughout the hiring process, we will discuss your preferences:
**Role 1**
**Essential for the Role**:
- PhD in bioinformatics or related field.
- First-hand experience in the analysis and interpretation of large, complex datasets.
- Expertise in transcriptomics and/or proteomic analysis.
- Experience with analysis of gene networks.
- Experience with R and/or Python.
- Ability to explore novel bioinformatic approaches to improve sensitivity and specificity of existing software solutions.
- Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals.
- Experience working within a team environment.
- Takes ownership of tasks and has a can do attitude.
**Desirable for the Role**:
- Strong statistical skills.
- Experience with create production quality code and software engineering techniques and practices. e.g. version control, Jira, Agile, Scrum, code reviews etc.
- Familiarity with multiple R&D; data types, especially as they relate to therapeutic area research.
- Ability to work with stakeholders to identify opportunities and synergies across projects.
- Capability of successfully managing multiple simultaneous projects.
**Role 2**
**Essential for the Role**:
- PhD or equivalent in bioinformatics or related field and 1+ years relevant experience.
- Hands-on experience with the methods and pipelines for the analysis and interpretation of large, complex datasets in clouds or HPC environments.
- Expertise in R and Python with best practice for scalable performant data pipelines.
- Ability to explore novel bioinformatic approaches to improve sensitivity and specificity of existing software solutions.
- Experience in transcriptomics and/or proteomic analysis, including gene network analysis.
- Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals.
- Experience working within a team environment.
- Takes ownership of tasks and has a can-do attitude.
**Desirable for the Role**:
- Expertise in creating production-quality code and software engineering techniques and practices, such as version control, Jira, Agile, Scrum, code reviews etc.
- Familiarity with multiple R&D; data types, especially as they relate to therapeutic area research.
- Capability of successfully managing multiple simultaneous projects.
- Exposure to using Real World Data.
- Ability to work with stakeholders to identify opportunities and synergies across projects.
At AstraZeneca, we value our employees and strive to create a supportive yet challenging work environment. We believe in continuous learning and improvement, viewing every setback as an opportunity for growth. Our team of dedicated experts combines specialist knowledge with curiosity, always searching for better ways of doing things. We are courageous, speaking up, sharing opinions, and making bold decisions that could change the course of patients' lives. Join us and be part of a community that values your contribution and encourages you to reach your potential.